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sklearn.feature_selection.SelectPercentile — sc...
get_feature_names_out ([input_features]) Mask feature names according to selected...get_support ([indices]) Get a mask, or integer index, of the features...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html -
sklearn.impute.MissingIndicator — scikit-learn ...
default=’missing-only’ Whether the imputer mask should represent all or a subset...'missing-only' (default), the imputer mask will only represent features...scikit-learn.org/stable/modules/generated/sklearn.impute.MissingIndicator.html -
sklearn.feature_selection.SequentialFeatureSele...
dtype=bool The mask of selected features. See also...get_feature_names_out ([input_features]) Mask feature names according to selected...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html -
sklearn.covariance.MinCovDet — scikit-learn 1.4...
The parameter must be in the range (0, 1]. random_state...ndarray of shape (n_samples,) A mask of the observations that have...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html -
Tweedie regression on insurance claims — scikit...
GammaRegressor mask_train = df_train [ "ClaimAmount" ] > 0 mask_test =...X_train [ mask_train . values ], df_train . loc [ mask_train ,...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
sklearn.feature_selection.SelectFromModel — sci...
estimator must be a fitted estimator. If False...get_feature_names_out ([input_features]) Mask feature names according to selected...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
sklearn.feature_selection.GenericUnivariateSele...
get_feature_names_out ([input_features]) Mask feature names according to selected...get_support ([indices]) Get a mask, or integer index, of the features...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.GenericUnivariateSelect.html -
sklearn.feature_selection.SelectKBest — scikit-...
get_feature_names_out ([input_features]) Mask feature names according to selected...get_support ([indices]) Get a mask, or integer index, of the features...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html -
sklearn.ensemble.HistGradientBoostingClassifier...
Must be strictly greater than 1....reserved for missing values. Must be no larger than 255. categorical_features...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html -
6.4. Imputation of missing values — scikit-lear...
>>> mask_all = indicator . fit_transform ( X ) >>> mask_all array([[...Missing values encoded by 0 must be used with dense input. The...scikit-learn.org/stable/modules/impute.html